code: def tree_decomposition(
      mol: Any,
      return_vocab: Literal[False],
  ) -> Tuple[Tensor, Tensor, int]:
      pass
  
file_path: pytorch_geometric/torch_geometric/utils/_tree_decomposition.py
imports: from itertools import chain
  from typing import Any, List, Literal, Tuple, Union, overload
  import torch
  from scipy.sparse.csgraph import minimum_spanning_tree
  from torch import Tensor
  from torch_geometric.utils import from_scipy_sparse_matrix, to_scipy_sparse_matrix, to_undirected
label_desc: Use image node_id 2 for calling a global function with example usage: tree_decomposition(mol, return_vocab) without return types